Artificial intelligence is increasingly shaping the gambling industry, particularly in areas such as fraud detection, predictive analytics, and safer gambling tools.
At the Regulating the Game 2026 in Sydney, industry experts highlighted how AI is already being deployed across casinos and online platforms to address operational challenges. Meanwhile, regulators continue to examine oversight and transparency.
The panel discussion was moderated by Paul Devlin from Amazon Web Services and included speakers from Crown Resorts, SEON, Angel Australasia, and the NSW Department of Creative Industries.
Predictive Analytics Helps Identify Gambling Harm
Experts noted that while generative AI attracts significant attention, most gambling operators currently prioritize predictive analytics and behavioral monitoring.
Nicole Pelchen explained that AI systems analyze player behavior to identify early indicators of gambling harm. These may include sudden increases in betting activity, unusually long sessions, or unexpected changes in playing patterns.
By analyzing large volumes of behavioral data in real time, AI tools can help operators detect potential risks earlier and trigger interventions. This is especially true in large venues where thousands of players may be active simultaneously.
Online Fraud Becomes More Sophisticated
Fraud prevention is another area where AI is playing a growing role.
Troy Nyi Nyi described how modern fraud schemes increasingly rely on technologies such as deepfakes, automated bots, and multi-accounting strategies. Some bots are even programmed to mimic human behaviors, such as pauses in activity, to bypass detection systems.
Machine learning models help identify subtle digital signals that may indicate bonus abuse, account takeovers, or coordinated fraud attempts. As a result, operators can intervene before financial losses occur.
Smart Casino Tables Improve Game Monitoring
Artificial intelligence is also transforming land-based casino operations.
Bryan Jenkins highlighted the use of “smart tables,” which combine overhead cameras with chip-tracking technology to record every wager and game outcome in real time.
These systems allow casino managers to quickly detect statistical anomalies, dealer mistakes, or unusual betting patterns. This improves both operational efficiency and game integrity.
Regulators Call for Transparency in AI Decisions
Despite the benefits of AI, regulators remain concerned about the transparency of automated decision-making systems.
Jane Lin noted that regulators are particularly cautious about “black box” AI models that may restrict or ban players without clear explanations.
As a result, regulators are encouraging frameworks that ensure human oversight remains central to decision-making. AI should act as a support tool rather than a fully autonomous authority.
Balancing Innovation and Privacy
Another key discussion point was data privacy. AI systems rely heavily on behavioral data to identify risks, raising questions about how operators collect and use player information.
Pelchen explained that many operators anonymize data during analysis and only link it to individual players when intervention thresholds are reached. In addition, regulators promote “privacy by design” principles to ensure developers integrate data protection measures into AI systems from the outset.
AI’s Growing Role in the Gambling Industry
The panel concluded that AI is becoming deeply integrated into gambling operations, from online fraud detection to casino floor monitoring and responsible gambling initiatives.
While regulators are not opposed to the technology, they emphasize the importance of transparent algorithms, human oversight, and strong privacy protections. These elements ensure that AI contributes to a safer and fairer gambling environment.
